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Director of Future Mobility, Victorian Department of Transport and Planning

 

Vice-President of the MaaS Alliance

 

Administrator, Office of Passenger

Transportation, Michigan Department of Transport

 

Director, Advanced Public Transport Research Center, National Taiwan University 

Ambassador ITS Australia, Club Melbourne Ambassador - ITS Australia

 

Global Public Transport Leader, MasterCard

Adviser for European and International Affairs, Free and Hanseatic City of Hamburg

 

Technical Director, AustriaTech

 

Director Partnerships, North America & Australasia, MobilityData 

Director Future Mobility and Corporate Affairs
 Keolis Downer

 

Executive Director, Strategy, Innovation and Data Insights, The Victorian Department of Transport and Planning

 

Sue Wiblin
Executive Director Emerging Technologies, Transport for NSW

 

Stephanie Wiggins
CEO, LA Metro 

This session will explore how Transurban successfully consolidated four existing Traffic Control Rooms across 82 kms of roads, tunnels and bridge operations into a single Network Operations Centre without affecting operations. Transurban Queensland was operating its seven assets across four geographically dispersed traffic control rooms, with four different Traffic Management Systems (TMCS) and three different Plant Management Systems (PMCS). They have now been able to bring all assets and control systems into a single state of the art Network Operations Centre, linking these assets together with a 98km optical fibre ring across South East Queensland, that provides a resilient communication network back into the Operations Centre.  Transurban engaged Indra to design, build and integrate the iOMCS (Horus) into the Operations Centre, consolidating all its traffic, plant, video, communications, ventilation, fire and life critical systems.  And it did all this in a brownfield environment, all while maintaining a 24/7 operation across 81km of roads, tunnels and bridges across South East Queensland. 

This Special Interest Session (SIS) will present the final results from the Cooperative and Highly Automated Driving (CHAD) project and the project management team. More specifically, CHAD project was looking at the following dimensions: drivers, interaction with existing digital infrastructure, specific Australian use cases, public awareness, and demonstration of technologies. Assessing safety benefits and impact of introducing Cooperative and Automated Vehicles (CAV) on Queensland roads, the Cooperative and Highly Automated Driving Pilot used a purpose-built Renault Zoe platform research prototype Level Four CAV to examine: physical road infrastructure interaction: road data were collected through mapping drives in specific environments, such as urban, sub-urban and rural areas. This enabled the team examine CAV interactions of CAVs for several unique Australian scenarios. digital infrastructure interaction: AV interactions in a connected environment, interacting with connected infrastructure and systems. interaction with other road users: an extensive literature review and engaging international experts determined three (3) unique Australian scenarios for AV testing, long trucks (road trains), Australian fauna (kangaroos) and single lane carriageways. driver behaviour (the human to machine interface): public participants were given the opportunity to sit in the driver's seat of the CAV and encouraged to undertake tasks other than driving, to assess the handover/back interaction between driver and AV. public perception of CAVs: several public demonstrations have been delivered, both static and dynamic. Each of the dynamic demonstrations involved researching public perceptions of CAVs before and after their experience in the demonstration. The proposed symposium currently features five (5) speakers and, as such, it is proposed each speaker will present 10 minutes, allowing 30 minutes for session wrap-up, questions and panel discussion.

Data from vehicles can provide us with a large range of insights that can help to improve our road networks.  Connected vehicle data is now being used to detect near miss incidents, understand origin and destination, traffic speeds and more.  This session will explore use cases for connected vehicle data.